Registry › Compare › Rasa vs Speech To Speech

Rasa vs Speech To Speech

Both are Grade C and 3.9 points apart, so choose on what you weigh most. Rasa leads on adoption and rests on broader evidence; Speech To Speech leads on transparency and maintenance. Note: Speech To Speech's evidence coverage is thinner (coverage C vs A) — its score rests on fewer independent signal types.

C Rasa 59.2

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

RasaHQ/rasa · #681 overall · #7 Voice & Conversational · coverage A (4/5)

Choose Rasa if adoption matters most.

+6.9Adoption: 21.3k GitHub stars against 13.4k
A vs CEvidence coverage: 4 of 5 independent signal types, against 2

C Speech To Speech 63.1

Build voice agents with open-source models

huggingface/speech-to-speech · #571 overall · #5 Voice & Conversational · coverage C (2/5)

Choose Speech To Speech if transparency and maintenance matter most.

+13.1Maintenance: last push today, against 77d ago
+1.3Transparency: OSSF Scorecard 6.8 against 5.3

Where they differ

13.0

TransparencySpeech To Speech +1.3

14.3

6.9

MaintenanceSpeech To Speech +13.1

20.0

16.8

AdoptionRasa +6.9

9.9

+2.1

Runtime calibrationRasa +3.6

-1.5

2 dimensions identical: Safety 9.6 · Identity 10.8 · Full evidence table

An independent, evidence-based trust comparison of Rasa and Speech To Speech, two Voice & Conversational projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	RasaRasaHQ/rasa	Speech To Speechhuggingface/speech-to-speech
HVTrust score	59.2	63.1
Evidence grade	C	C
Coverage grade	A	C
Overall rank	#681	#571
Rank in Voice & Conversational	#7	#5
GitHub stars	21.3k	13.4k
Last updated	77d ago	today
Build provenance	No	No
OSSF Scorecard	5.3 / 10	6.8 / 10
License	Apache-2.0	Apache-2.0
Downloads	63k/wk	—
Trust dimensions (points earned)
Safety / integrity / 25	9.6	9.6
Identity & provenance / 18	10.8	10.8
Transparency / 17	13.0	14.3
Maintenance / 20	6.9	20.0
Adoption / 20	16.8	9.9
Runtime capability surface (full matrix)
MCP server	—	—
External providers	3 — Amazon Bedrock, Postgres, Redis	2 — OpenAI, OpenRouter
Requires API keys	No	Yes
Plugin surface	plugins	—
Provenance drift	Match	—

Open in the live compare tool → Rasa profile Speech To Speech profile More Voice & Conversational →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →